Differential Equations and Linear Algebra (4th Edition)

Published by Pearson
ISBN 10: 0-32196-467-5
ISBN 13: 978-0-32196-467-0

Chapter 6 - Linear Transformations - 6.3 The Kernel and Range of a Linear Transformation - Problems - Page 406: 12

Answer

See below

Work Step by Step

a) Let $v=(v_1,v_2,v_3)\\ u=(u_1,u_2,u_3)\in R^3$ Obtain: $Ker (T)=\{v \in R^3: T(v)=0\}\\ =\{v \in R^3: T(u,v)=(0,0)\\ =\{(v_1,v_2,v_3)\in R^3:(u_1v_1+u_2v_2+u_3v_3=0)$ Since $u$ is a fixed nonzero vector in $R^3$, we can see that at least one of $u_1,u_2,u_3$ will not equal to $0$ Assume that $u_1$ is not equal to $0$, we have: $u_1v_1+u_2v_2+u_3v_3=0\\ \rightarrow v_1=-\frac{u_2v_2+u_3v_3}{u_1}$ Thus, $Ker (T)=\{(-\frac{u_2v_2+u_3v_3}{u_1},v_2,v_3):v_2,v_3 \in R)\}\\ =\{v_2(-\frac{u_2}{u_1},1,0)+v_3(-\frac{u_3}{u_1},0,1):v_2,v_3 \in R\\ =span \{(-\frac{u_2}{u_1},1,0),(-\frac{u_3}{u_1},0,1)\}$ $\dim [Ker (T)]=2\\ =\{ v\in R^3:=0\}\\$ $=\{v\in R^3: v$ is orthogonal to $u\}$ Geometrically, $Ker(T)$ is a set of all vectors orthogonal to the given nonzero vector $u$. b) Then, $Rng(T)= \{T(v):v\in R^3\}\\ =\{: v \in R^3\\ =\{ a\in R:=a,v \in R^3$
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